Inference of genetic networks from large scale expression data

Date of Presentation: 
Wednesday, May 27, 2015
2015 Spring
Research Focus: 

LINCS L1000 is a NIH funded project that has measured the expression levels of 1000 genes in 1.4 million experiments for 78 different cell types in the presence of over 40,000 chemical compounds. Our goal is to infer changes in genetic interactions that result from these perturbations in order to understand the pathways affected by known drugs and identify potential candidates for new drugs. I will describe new software for inferring genetic networks that is more accurate, more scalable and 300x faster than its predecessor that will be applied to this data. I will also describe a new much faster and more compact processing pipeline that increases the accuracy of the underlying gene expression data.

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